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An amusement park studied methods for decreasing the walting time (minutes) for ides by losding and unioeding rnders more efficiently. Two alternative loading/unloading methods have been proposed. To account fur potential differences due to the type of ride and the possible interaction between the methed of loading and unloading and the type of ride, a factorial experiment was designed, Use the folowing data to test for any significant effect due to the loading and unloading methad, the type of ride, and interaction, Use a0.05. Factor Ais method of loading and unleading; Factor Bis the type of ride. Type of Ride ETTI Roller Coaster Screaming Demon Long Flume Hethed i 42 54 44 42 s0 Metheda 47 s0 46 47 Set up the ANOVA ale (to whele number, but pvalue to 4 decimals and vahe te 2 decimal, if necssary). De nat round intermediate caieulations. Source of Variation Sum of Squares Degrees of Freedom Mean Square Pvalue Factor A Factor B Interaction Error Total

An amusement park studied methods for decreasing the walting time (minutes) for ides by losding and unioeding rnders more efficiently. Two alternative loading/unloading methods have been proposed. To account fur potential differences due to the type of ride and the possible interaction between the methed of loading and unloading and the type of ride, a factorial experiment was designed, Use the folowing data to test for any significant effect due to the loading and unloading methad, the type of ride, and interaction, Use a0.05. Factor Ais method of loading and unleading; Factor Bis the type of ride. Type of Ride ETTI Roller Coaster Screaming Demon Long Flume Hethed i 42 54 44 42 s0 Metheda 47 s0 46 47 Set up the ANOVA ale (to whele number, but pvalue to 4 decimals and vahe te 2 decimal, if necssary). De nat round intermediate caieulations. Source of Variation Sum of Squares Degrees of Freedom Mean Square Pvalue Factor A Factor B Interaction Error Total

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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An amusement park studied methods for decreasing the waiting time (minutes) for ndes by loading and unloeding riders more efficiently. Two alternative loading/unloading methods have been proposed. Tu account fur potential diferences due to the type of ride and the possible interaction between the methad of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading methad, the type of ride, and interaction, Use a 0.05. Factor A is method of loading and unloading; Fector Bis the type of ride. Type of Ride ETTI Roller Coaster Screaming Demen Long Flume Methed 1 54 44 42 50 Methed a 47 50 51 49 46 Set up the ANOVA table (to whale number, but pvalue to 4 decimals and F value te 2 decimal, f necessary). De net round intermetate calculations. Source of Varlation Sum of Squares Degrees of Freedom Mean Square p-value Factor A Factor B Interaction Error Total
Transcribed Image Text:An amusement park studied methods for decreasing the waiting time (minutes) for ndes by loading and unloeding riders more efficiently. Two alternative loading/unloading methods have been proposed. Tu account fur potential diferences due to the type of ride and the possible interaction between the methad of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading methad, the type of ride, and interaction, Use a 0.05. Factor A is method of loading and unloading; Fector Bis the type of ride. Type of Ride ETTI Roller Coaster Screaming Demen Long Flume Methed 1 54 44 42 50 Methed a 47 50 51 49 46 Set up the ANOVA table (to whale number, but pvalue to 4 decimals and F value te 2 decimal, f necessary). De net round intermetate calculations. Source of Varlation Sum of Squares Degrees of Freedom Mean Square p-value Factor A Factor B Interaction Error Total
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